Remove 2019 Remove Modeling Remove Predictive Modeling
article thumbnail

Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 278
article thumbnail

Why you should care about debugging machine learning models

O'Reilly on Data

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

2019 was a particularly major year for the business intelligence industry. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. Any difference between predicted data and real value is used by the moving average (MA) part.

article thumbnail

What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

article thumbnail

Feature Selection: Beyond feature importance?

KDnuggets

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

article thumbnail

Tableau adds data storytelling to its revamped cloud platform

CIO Business Intelligence

The new features include simplified self-service tools like Data Stories, smart suggestions through Einstein Discovery, and collaboration tools to work on shared data models. Having been acquired by Salesforce in 2019 , Tableau is also deepening ties with its parent company’s AI capabilities, which are branded as Einstein.

IT 98
article thumbnail

Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. Mobile Analytics.